An Efficiency Imaging Algorithm for the Multiple receivers Data in Synthetic Aperture Sonar

Wu, Haoran; Tang, Jinsong

doi:10.1109/cisp-bmei53629.2021.9624220

Cited by 2 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on various sub-block widths, we mainly discuss the imaging performance of presented method. Although time domain back projection (BP) [12]- [15] ( The presented ] are still use thod in [23] is er imagery, th Fig. 17(a), we ng the presen orithm [14] sh .17(c), it seem o reconstruct formance of P raded, as the ually highlight ging result, as nd PT2, the ma CA and BP me nerally, the P rrors, i.e., PC CA error is gen laced by trans iver and transm ange.…”

Section: A Influence Of Sub-block Width On Imagerymentioning

confidence: 99%

“…In general, this method would suffer from the disadvantage of maximum latency if parallel algorithms were not used. The other one is to preprocess r a N N  data, and then apply traditional monostatic SAS imaging algorithms [19]- [23]. Due to this reason, it is called monostatic SAS equivalent method.…”

Section: Introductionmentioning

confidence: 99%

“…That is to say, this assumption would result in stop-and-hop error, which mainly affects the imaging performance at far range [18]. In [23], another imaging method based on modified PCA is presented. The major difference lies in the error term, which is derived by the difference between the two-way range of each receiver and that of reference receiver [23].…”

Section: Introductionmentioning

confidence: 99%

“…In [23], another imaging method based on modified PCA is presented. The major difference lies in the error term, which is derived by the difference between the two-way range of each receiver and that of reference receiver [23]. In general, the imaging performance is more or less the same with that in [18].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multireceiver SAS Imagery Based on Monostatic Conversion

Zhang

Sun

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This paper presents a novel aspect for dealing with the multireceiver SAS imagery, which still depends on the idea of monostatic conversion. The approach in this paper is based on Loffeld's bistatic formula that consists of two important terms, i.e., quasi monostatic and bistatic deformation terms. Our basic idea is to preprocess the bistatic deformation term and then incorporate the quasi monostatic term into an analogous monostatic spectrum. With this new spectrum, traditional imaging algorithms designed for monostatic synthetic aperture sonar can be easily exploited. In this paper, we show that Loffeld's bistatic formula can be reduced to the same formula as spectrum based on phase centre approximation when certain conditions are met. Based on our error analysis, the maximum error magnitude of PCA method is about 1 rad, which would noticeably affect the SAS imagery. Fortunately, the error magnitude of presented method can be always kept within π 4 . It means that Loffeld's bistatic formula provides a more accurate approximation of the spectrum compared to that based on phase centre approximation. After that, this paper develops a new imaging scheme and presents imaging results. Based on quantitative comparisons, the presented method well focuses multireceiver SAS data, and it provides better image compared to phase centre approximation method.

show abstract

Section: A Influence Of Sub-block Width On Imagerymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multireceiver SAS Imagery Based on Monostatic Conversion

Zhang

Sun

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…However, the first-order expansion of geometry-based formula would result in large phase error. Traditional omega-k algorithm is directly applied to monostatic equivalent data [7,8], which is transferred from multireceiver SAS data by using preprocessing steps such as interpolation, phase compensation, and so on. Unfortunately, the monostatic transformation would suffer from phase error.…”

mentioning

confidence: 99%

An omega‐k algorithm for multireceiver synthetic aperture sonar

Zhang¹,

Yang²,

Sun

2023

Electronics Letters

View full text Add to dashboard Cite

In this Letter, the authors present a novel imaging algorithm for multireceiver synthetic aperture sonar (SAS). The Loffeld's bistatic formula (LBF) including quasi-monostatic (QM) and multireceiver deformation (MD) phases is first reformulated into range-variant and range-invariant phases. After compensating the range-invariant phase, the subsequent steps are the extended Stolt mapping for each bistatic SAS. Based on simulations, the presented method can also provide high-resolution result which is similar to that of back projection (BP) algorithm. Fig. 4 Azimuth slices of focusing results.

show abstract

An Efficiency Imaging Algorithm for the Multiple receivers Data in Synthetic Aperture Sonar

Cited by 2 publications

References 9 publications

Multireceiver SAS Imagery Based on Monostatic Conversion

Multireceiver SAS Imagery Based on Monostatic Conversion

An omega‐k algorithm for multireceiver synthetic aperture sonar

Contact Info

Product

Resources

About